pandas.Series.cov#

Series.cov(other,min_periods=None,ddof=1)[source]#

Compute covariance with Series, excluding missing values.

The twoSeries objects are not required to be the same length andwill be aligned internally before the covariance is calculated.

Parameters:

otherSeries

Series with which to compute the covariance.

min_periodsint, optional

Minimum number of observations needed to have a valid result.

ddofint, default 1

Delta degrees of freedom. The divisor used in calculationsisN-ddof, whereN represents the number of elements.

Returns:

float

Covariance between Series and other normalized by N-1(unbiased estimator).

See also

DataFrame.cov

Compute pairwise covariance of columns.

Examples

>>>s1=pd.Series([0.90010907,0.13484424,0.62036035])>>>s2=pd.Series([0.12528585,0.26962463,0.51111198])>>>s1.cov(s2)-0.01685762652715874